摘要
针对摄像头采集QR码图像时,往往出现QR码图像倾斜、畸变等问题,提出了利用QR码特征与图像旋转、图像映射矫正相结合的矫正方法.该方法在对条码图像做常规预处理和行程编码后,通过位置探测图形的位置关系来判断QR码图像倾斜畸变情况,依据倾斜畸变情况选取矫正方法,矫正后直接利用采样网格和统计方法提取信息.经测试,该方法实现简单,可提高QR码的有效识别率;浮点运算量较小,可应用于嵌入式系统.
When collecting the QR code image,the inclined or geometric distortion often occured. To solve this problem,a correction method combined the QR code feature,image rotation and image maps was proposed. This method,firstly,used the position detection patterns to detect tilt aberration after conventional image pre-processing and run length encoding; Secondly,selected the appropriate method by tilt aberration to correct the image; Thirdly,used grid and statistical methods to extract information and complete the decoding. The results showed that the method was simple and had a high rate of recognition. The computation of floating-point was small,so it could be used in embedded system.
出处
《郑州轻工业学院学报（自然科学版）》
CAS
2014年第4期73-76,共4页
Journal of Zhengzhou University of Light Industry:Natural Science
关键词
QR码
图像预处理
图像矫正
嵌入式系统
QR code
image preprocessing
image correction
embedded system
